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Nikolay [14]
3 years ago
9

What's the answer to 4/3y = 16

Mathematics
2 answers:
const2013 [10]3 years ago
5 0

Answer:

12

Step-by-step explanation:

4/3y = 16

4y=48

y=12

Ivenika [448]3 years ago
3 0
The answer is 12.
4y=16(3)
Y=48/4
Y=12
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There are 16 cups in a gallon. Convert gallons into cups:

9 * 16 = 144

34 guests ate 2 and 1/2 cups of ice cream. To find the total amount of ice cream they ate, multiply the cups eaten by each guest by the amount of guests.

34 * 2 \frac{1}{2} = 85

Subtract the total amount the guests ate by the amount of cups provided.

144 - 85 = 59

There are 2 cups in a pint. To convert cups into pints, divide the cups by 2.

59 / 2 = 29 \frac{1}{2}

There are 29 and a half pints of ice cream left over from the party.
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A box has dimensions of 17 in Long 1.3 ft wide and 8 inches high what is the volume of the Box the formula for the volume is V=
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17*1.3*8 = 176.8in.^3
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What are irrational numbers?<br> Are they related to Rational numbers?
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In the past decades there have been intensive antismoking campaigns sponsored by both federal and private agencies. In one study
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Answer:

z=\frac{0.384-0.362}{\sqrt{0.374(1-0.374)(\frac{1}{4276}+\frac{1}{3908})}}=2.055    

The p value can be calculated from the alternative hypothesis with this probability:

p_v =2*P(Z>2.055)=0.0399    

And the best option for this case would be:

C. between 0.01 and 0.05.

Step-by-step explanation:

Information provided

X_{1}=1642 represent the number of smokers from the sample in 1995

X_{2}=1415 represent the number of smokers from the sample in 2010

n_{1}=4276 sample from 1995

n_{2}=3908 sample from 2010  

p_{1}=\frac{1642}{4276}=0.384 represent the proportion of smokers from the sample in 1995

p_{2}=\frac{1415}{3908}=0.362 represent the proportion of smokers from the sample in 2010

\hat p represent the pooled estimate of p

z would represent the statistic    

p_v represent the value for the pvalue

System of hypothesis

We want to test the equality of the proportion of smokers and the system of hypothesis are:    

Null hypothesis:p_{1} = p_{2}    

Alternative hypothesis:p_{1} \neq p_{2}    

The statistic is given by:

z=\frac{p_{1}-p_{2}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{1}}+\frac{1}{n_{2}})}}   (1)  

Where \hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{1642+1415}{4276+3908}=0.374  

Replacing the info given we got:

z=\frac{0.384-0.362}{\sqrt{0.374(1-0.374)(\frac{1}{4276}+\frac{1}{3908})}}=2.055    

The p value can be calculated from the alternative hypothesis with this probability:

p_v =2*P(Z>2.055)=0.0399    

And the best option for this case would be:

C. between 0.01 and 0.05.

7 0
3 years ago
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